Volume 45 Issue 4
Apr.  2024
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CHEN Yuming, TAO Shuman, ZOU Liwei, YANG Yajuan, XIE Yang, LI Tingting, ZHANG Dan, QU Yang, ZHAI Shuang, TAO Fangbiao, WU Xiaoyan. Association of social jetlag and sleep quality with cardiometabolic risk in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(4): 492-496. doi: 10.16835/j.cnki.1000-9817.2024116
Citation: CHEN Yuming, TAO Shuman, ZOU Liwei, YANG Yajuan, XIE Yang, LI Tingting, ZHANG Dan, QU Yang, ZHAI Shuang, TAO Fangbiao, WU Xiaoyan. Association of social jetlag and sleep quality with cardiometabolic risk in college students[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(4): 492-496. doi: 10.16835/j.cnki.1000-9817.2024116

Association of social jetlag and sleep quality with cardiometabolic risk in college students

doi: 10.16835/j.cnki.1000-9817.2024116
  • Received Date: 2024-02-08
  • Rev Recd Date: 2024-03-07
  • Available Online: 2024-04-25
  • Publish Date: 2024-04-25
  •   Objective  To explore the association of social jetlag(SJL) and sleep quality with cardiometabolic risk in college students, so as to provide evidence for improving the physical health of college students.  Methods  Convenience sampling and cluster sampling method was used to select 318 college students from two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province for questionnaire survey and physical examination from May to June 2021. A self-rated questionnaire was used to investigate the bedtime and wake-up time of college students on weekdays and weekend. SJL was calculated according to the midpoint of sleep on weekdays and weekeng. The Pittsburgh Sleep Quality Index was used to evaluate sleep quality among college students. According to the results of biochemical blood tests, blood pressure and human morphology, the cardiometabolic indexes of college students were determined, and the cardiometabolic risk score was calculated. Mann-Whitney U and Kruskal-Wallis H rank-sum tests were used to compare the differences of cardiometabolic risk scores among college students with different demographic characteristics. Generalized linear models were used to analyze the association between SJL, sleep quality and cardiometabolic risk scores.  Results  The cardiometabolic risk score for college students was -0.59(-1.85, 1.11). The results of the generalized linear model indicated that both SJL>2 h (β=1.03, 95%CI=0.04-2.03) and poor sleep quality (β=1.67, 95%CI=0.46-2.87) were positively correlated with the cardiometabolic risk score of the college students (P < 0.05). After adjusting for covariates including sex, smoking, alcohol consumption, sleep time type and sleep duration, there were positive correlation between SJL>2 h (β=1.20, 95%CI=0.04-2.03) and poor sleep quality (β=1.82, 95%CI=0.55-3.08) with cardiometabolic risk scores of college students (P < 0.05).  Conclusions  Higher SJL and poor sleep quality in college students are associated with cardiometabolic risk scores. Measures should be taken to improve circadian rhythm disturbances and sleep quality in college students to reduce the incidence of cardiovascular disease.
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